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A Novel ConvLSTM-Based U-net for Improved Brain Tumor Segmentation

Using 2D scans or simple 3D convolutions are two limitations of previous works on segmentation of brain tumors by deep learning, which lead to ignoring the temporal distribution of the scans. This study proposes a novel extension to the well-known U-net model for brain tumor segmentation, utilizing...

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Principais autores: Osama Majeed Hilal Almiahi, Alaa Taima Albu-Salih, Dhafer Alhajim
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Brain tumor
deep learning
ConvLSTM
up skip connection
U-net
גישה מקוונת:https://ieeexplore.ieee.org/document/10721476/
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